Image Compression Using Lossless and Lossy Technique

Authors(2) :-Y. lakshmi Narayana, V Rahamathulla

Image compression is the way toward diminishing the measure of information required to speak to an image. Image Compression is utilized as a part of the field of Broadcast TV, Remote detecting, Medical Images. Numerous basic document designs are reviewed and the trial consequences of different conditions of lossy and lossless compression algorithms are given. In the proposed strategy, image is compacted by utilizing lossy and lossless strategies for various kinds of images. Here, the lossy compression is finished by the fractal decay code and lossless compression is finished by utilizing the LZW algorithm. LZW is the word reference based algorithm, which is basic and can be utilized for the equipment applications. Fractal compression speaks to the image in a contractive shape. In spite of its lossy nature it can be utilized for the instance of lossless compression. A general correlation is done in light of examining the parameters, for example, Peak Signal to Noise Ratio (PSNR), Mean Square Error(MSE), Image fidelity (IF), Absolute Difference (AD) to the diverse kinds of images.

Authors and Affiliations

Y. lakshmi Narayana
Department of MCA Sree Vidyanikethan Institute of Management, Sri Venkateswara University, Tirupati, Andhra Pradesh, India
V Rahamathulla
Assistant Professor, Department of MCA, Sree Vidyanikethan Institute of Management, A.Rangampeta, Tirupati, Andhra Pradesh, India

Image compression, LZW, Fractal decomposition, mean square error.

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Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 19-25
Manuscript Number : CSEIT1833123
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Y. lakshmi Narayana, V Rahamathulla, "Image Compression Using Lossless and Lossy Technique", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.19-25, March-April.2018
URL : http://ijsrcseit.com/CSEIT1833123

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